Deep generative modelling for nonlinear analysis and in-situ assessment of masonry using multiple mechanical fields

IF 7.4 1区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY
Ahmad Adaileh , Bahman Ghiassi , Riccardo Briganti
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引用次数: 0

Abstract

Design and in-situ assessment of masonry structures is a challenging task due to the brittle and nonlinear nature of this widely used material, the complex interaction between its components, and the vast variability of material properties in its design space. Current methodologies often rely on oversimplified assumptions that inadequately capture the true mechanical behaviour of masonry or require extensive knowledge and expertise for reliable implementation or interpretation of the obtained results. To overcome these limitations, this article presents an innovative generative machine learning approach, based on conditional generative adversarial network (cGAN), that allows establishing a direct or reverse link between masonry meso-structure and multiple mechanical fields without any specific knowledge of the properties or constitutive laws. The developed cGAN model interprets relationships among multiple mechanical maps using a single model, which leads to enhanced predictions in both linear and nonlinear stages for a wide range of unseen scenarios. The model shows an excellent capability to capture the effect of local and global variability of material properties, constituents sizes, and loading scenarios on the results in both direct (i.e. predicting the strain maps from meso-structure and material properties) and reverse (i.e. predicting the meso-structure and material properties from strain maps) problems. The proposed cGAN modelling approach emerges as a versatile tool with potential broad applications for the design and evaluation of nonlinear composite materials and mechanical behaviour of materials in general, addressing a wide spectrum of engineering challenges.
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来源期刊
Construction and Building Materials
Construction and Building Materials 工程技术-材料科学:综合
CiteScore
13.80
自引率
21.60%
发文量
3632
审稿时长
82 days
期刊介绍: Construction and Building Materials offers an international platform for sharing innovative and original research and development in the realm of construction and building materials, along with their practical applications in new projects and repair practices. The journal publishes a diverse array of pioneering research and application papers, detailing laboratory investigations and, to a limited extent, numerical analyses or reports on full-scale projects. Multi-part papers are discouraged. Additionally, Construction and Building Materials features comprehensive case studies and insightful review articles that contribute to new insights in the field. Our focus is on papers related to construction materials, excluding those on structural engineering, geotechnics, and unbound highway layers. Covered materials and technologies encompass cement, concrete reinforcement, bricks and mortars, additives, corrosion technology, ceramics, timber, steel, polymers, glass fibers, recycled materials, bamboo, rammed earth, non-conventional building materials, bituminous materials, and applications in railway materials.
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